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. The person will be employed at the Department of Computer Science and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. They will
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recommendations and documentation. • Publishing results in high‑impact journals and conferences and contributing to collaborative research activities within the team. • Supporting or leading the preparation and
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programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
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., pyTorch, TensorFlow) Proven publication record in relevant fields Familiarity with high-performance computing environments Familiarity with using and adapting open-source AI models and code repositories
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, computer science and technology, intelligent science and technology, among others. (2) Talent System and Benefits Position Term of Employment (years) Annual Salary (CNY, pre-tax) Researcher 5 500,000-600,000
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, through the rational design and optimization of microalgae-bacteria consortia, metabolic pathway regulation, nutrient partitioning, and bioreactor performance. You will become part of an international
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engineering, analytical chemistry, and computational methods for analyzing sequence information and molecular structures is required to perform research tasks A background in food science or food technology is
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equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
a single process environment Enable tunable and graded film compositions through innovative spatial integration of plasma techniques Establish high-throughput deposition and screening workflows
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. For computational analyses, the successful candidate will have access to the high-performance computing infrastructure of the Leibniz Supercomputing Centre (LRZ) and dedicated data management support. We offer close